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Found 4 papers, 1 papers with code
QA Is the New KR: Question-Answer Pairs as Knowledge Bases
In this position paper, we propose a new approach to generating a type of knowledge base (KB) from text, based on question generation and entity linking.
Learning Dense Representations for Entity Retrieval
We show that it is feasible to perform entity linking by training a dual encoder (two-tower) model that encodes mentions and entities in the same dense vector space, where candidate entities are retrieved by approximate nearest neighbor search.
End-to-End Retrieval in Continuous Space
Most text-based information retrieval (IR) systems index objects by words or phrases.
Globally Normalized Transition-Based Neural Networks
Our model is a simple feed-forward neural network that operates on a task-specific transition system, yet achieves comparable or better accuracies than recurrent models.
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Dependency Parsing
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